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avacone Switzerland

Junior Data Engineer

avacone Switzerland

Junior Data Engineer supporting modern data platform transformation and implementation of data pipelines in a banking environment with hands-on experience in various data technologies.

Posted 7/21/2026full-timeLondon • 🇬🇧 United KingdomJuniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Engineering with a focus on modern ELT pipelines, data transformation, and data quality assurance. Proficient in utilizing tools like dbt, SQL, and cloud platforms such as Kubernetes and OpenShift to enhance data integration and operational efficiency.

Highest-signal resume keywords
Data EngineeringELT Pipeline DevelopmentSQL and Relational DatabasesDbt FamiliarityKubernetes or OpenShift

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLData Vault 2.0PythonData ModellingGit Version ControlETL / ELT ConceptsCI/CD ConceptsData TransformationAutomated Data ValidationData Quality Assurance
Soft Skills
Analytical ThinkingProblem-Solving MindsetDetail-OrientedTeam PlayerGood Communication Skills
Tools & Technologies
DbtKubernetesOpenShiftDockerDagsterKafka
Industry Keywords
Financial ServicesBanking Environments

Tech Stack

Tools & technologies
CloudDockerETLKafkaKubernetesOpenShiftPythonSQLVault

About the role

Key responsibilities & impact
  • Assist in translating legacy ETL processes into modern ELT pipelines using dbt
  • Support the development of Data Vault 2.0 models
  • Build and maintain data transformations and curated datasets
  • Contribute to data integration and migration activities
  • Support workflow development using Dagster
  • Assist in deploying and monitoring workloads on OpenShift / Kubernetes
  • Participate in pipeline monitoring and operational support
  • Help implement automated data validation and testing
  • Support reconciliation between legacy and modern platforms
  • Investigate and resolve data quality issues together with senior team members
  • Document technical solutions and operational procedures
  • Learn and apply software engineering best practices
  • Contribute ideas for improving performance and maintainability
  • Participate in code reviews and team knowledge sharing

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field (or equivalent practical experience)
  • Up to 3 years of experience in Data Engineering, Business Intelligence, Database Development, or Software Engineering
  • Internship or university project experience is also considered
  • Experience with some of the following technologies is desirable:
  • SQL and relational databases (SQL Server is a plus)
  • Basic understanding of Python
  • Familiarity with dbt is an advantage
  • Understanding of data modelling concepts
  • Basic knowledge of Git version control
  • Interest in cloud platforms, Kubernetes or OpenShift
  • Exposure to ETL / ELT concepts
  • Strong willingness to learn new technologies
  • Analytical thinking and problem-solving mindset
  • Structured and detail-oriented
  • Team player with good communication skills
  • Motivated to develop within a modern Data Engineering environment
  • Basic knowledge of Data Vault concepts
  • Familiarity with Kafka or event-driven architectures
  • Exposure to Docker or Kubernetes
  • Experience with CI/CD concepts
  • Interest in financial services or banking environments

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account avacone Switzerland Website LinkedIn All Job Openings 51 - 200 employees Founded 2014 Avacone AG is a service provider company offering services in the IT and non IT area as well as in the regulated and non regulated environment Junior Data Engineer Job not on LinkedIn 🔥 17 minutes ago 🏢🏡 London – Hybrid ⏰ Full Time 🟢 Junior 🚰 Data Engineer Cloud Docker ETL Kafka Kubernetes OpenShift Python SQL Vault Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Assist in translating legacy ETL processes into modern ELT pipelines using dbt
  • Support the development of Data Vault 2.0 models
  • Build and maintain data transformations and curated datasets
  • Contribute to data integration and migration activities
  • Support workflow development using Dagster
  • Assist in deploying and monitoring workloads on OpenShift / Kubernetes
  • Participate in pipeline monitoring and operational support
  • Help implement automated data validation and testing
  • Support reconciliation between legacy and modern platforms
  • Investigate and resolve data quality issues together with senior team members
  • Document technical solutions and operational procedures
  • Learn and apply software engineering best practices
  • Contribute ideas for improving performance and maintainability
  • Participate in code reviews and team knowledge sharing 🎯 Requirements
  • Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field (or equivalent practical experience)
  • Up to 3 years of experience in Data Engineering, Business Intelligence, Database Development, or Software Engineering
  • Internship or university project experience is also considered
  • Experience with some of the following technologies is desirable:
  • SQL and relational databases (SQL Server is a plus)
  • Basic understanding of Python
  • Familiarity with dbt is an advantage
  • Understanding of data modelling concepts
  • Basic knowledge of Git version control
  • Interest in cloud platforms, Kubernetes or OpenShift
  • Exposure to ETL / ELT concepts
  • Strong willingness to learn new technologies
  • Analytical thinking and problem-solving mindset
  • Structured and detail-oriented
  • Team player with good communication skills
  • Motivated to develop within a modern Data Engineering environment
  • Basic knowledge of Data Vault concepts
  • Familiarity with Kafka or event-driven architectures
  • Exposure to Docker or Kubernetes
  • Experience with CI/CD concepts
  • Interest in financial services or banking environments Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Data Engineer, MLOps 🕒 July 8 Fable Data 51 - 200 Website LinkedIn All Job Openings Data Engineer / MLOps role at Fable Data needing expertise in data engineering, MLOps, and analytics. Collaborating on data pipelines, monitoring, and specialized projects within a hybrid work model. 🏢🏡 London – Hybrid 💵 £45k - £55k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 🚰 Data Engineer 🇬🇧 UK Skilled Worker Visa Sponsor Azure Cloud Numpy Pandas Python Scikit-Learn Spark SQL Data Engineer 🕒 June 30 CF 51 - 200 Website LinkedIn All Job Openings Data Engineer building data pipelines and models for healthcare consultancy. Collaborating with teams on client problems while utilizing the Databricks platform. 🏢🏡 London – Hybrid ⏰ Full Time 🟢 Junior 🟡 Mid-level 🚰 Data Engineer 🇬🇧 UK Skilled Worker Visa Sponsor Cloud PySpark Python Spark SQL Unity Data Engineer 🕒 July 28, 2025 Ignite Digital Talent 1 - 10 🤝 B2B 💳 Fintech 🎯 Recruiter Website LinkedIn All Job Openings Join a fast-growing digital bank as a Data Engineer to build robust data pipelines and infrastructure. 🏢🏡 London – Hybrid ⏰ Full Time 🟢 Junior 🚰 Data Engineer Airflow Amazon Redshift Cloud ETL Kafka Python SQL Tableau View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs